鸽群优化算法研究进展  

Progresses in Pigeon-inspired Optimization Algorithms

作　　者：段海滨[1] 叶飞[1] 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100083

出　　处：《北京工业大学学报》2017年第1期1-7,共7页Journal of Beijing University of Technology

基　　金：航空科学基金资助项目(2015ZA51013)

摘　　要：仿生智能优化一直是智能计算领域的一个热门研究领域,在生命科学、系统科学、控制科学、计算机科学、管理科学和社会科学等学科均已得到了广泛应用.鸽群优化(pigeon-inspired optimization,PIO)算法是近年来才出现的一种群体智能优化算法,它是受自然界中鸽群自主归巢行为的启发而提出的.因此,对自然界中的鸽群机制和鸽群优化算法基本原理进行了阐述,介绍了鸽群优化模型,并对其在无人机(unmanned aerial vehicle,UAV)编队、控制参数优化、图像处理等领域的典型应用进行了评述,最后展望了未来的发展方向.In recent years,the bio-inspired intelligent optimization has always been a very popular field of study in intelligence computing and has been widely applied in life science,system science,control science,computer science,management science,sociology and other subjects. The pigeon-inspired optimization（ PIO） algorithm is a swarm intelligent optimization algorithm that proposed in recent years,which is inspired by the autonomous homing behavior of pigeons in nature. In this paper,the nature of the pigeons mechanism and flock optimization basic principles are described,and the latest developments of flock optimization model were introduced. The typical applications of unmanned aerial vehicle（ UAV）formation,control parameter optimization and image processing were reviewed. Finally, the future development direction was forecasted.

关 键 词：鸽群优化 鸽群归巢 地标算子 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]